Intro to Deep Learning and Generative Models Course - Deep Learning News #2, Feb 6 2021

Sebastian's books: https://sebastianraschka.com/books/ Link to resources mentioned in the video: CMU Researchers Explore ‘Crazy Idea’ of Automating AI Paper Reviews: https://syncedreview.com/2021/02/04/cmu-researchers-explore-crazy-idea-of-automating-ai-paper-reviews/ Code: https://github.com/neulab/ReviewAdvisor Paper: https://arxiv.org/pdf/2102.00176.pdf --------------------------------------------------------------- DALL-E: a version of a 12-billion param GPT-3 https://www.wired.com/story/ai-go-art-steering-self-driving-car/ Original blog article (Jan 5): https://openai.com/blog/dall-e/ --------------------------------------------------------------- CLIP: Connecting Text and Images https://openai.com/blog/clip/ Paper: https://cdn.openai.com/papers/Learning_Transferable_Visual_Models_From_Natural_Language_Supervision.pdf Code: https://github.com/openai/CLIP --------------------------------------------------------------- GPT-Neo: https://www.eleuther.ai/projects/gpt-neo/ --------------------------------------------------------------- Where Programming, Ops, AI, and the Cloud are Headed in 2021 https://www.oreilly.com/radar/where-programming-ops-ai-and-the-cloud-are-headed-in-2021/ --------------------------------------------------------------- Teaching AI to manipulate objects using visual demos https://ai.facebook.com/blog/teaching-ai-to-manipulate-objects-using-visual-demos/ Code: https://github.com/facebookresearch/LearningToLearn --------------------------------------------------------------- Initialization is critical for preserving global data structure in both t-SNE and UMAP Article: https://www.nature.com/articles/s41587-020-00809-z https://github.com/scikit-learn/scikit-learn/issues/18018